🕒 2 days ago
Leads and scales the engineering organisation, setting technical strategy and delivery standards while building strong leaders and ensuring complex AI infrastructure is reliable, secure, and production-ready.
Engineering Manager (f/m/x)
📅 Sep 4
Engineering LeadershipAI AdoptionStakeholder ManagementTeam Development
📜 Description
- Lead engineering across multiple teams, balancing customer needs and business objectives.
- Contribute to product and engineering strategy, translating priorities into clear goals.
- Champion AI adoption in engineering practices and team processes.
- Drive execution and accountability for strategic priorities and measurable outcomes.
- Coach and develop engineers, supporting their performance and career growth.
- Manage workforce planning, hiring, and resource allocation to meet business needs.
🛠️ Requirements
- Significant experience leading and developing engineering teams within a product-oriented organization.
- Proven ability to align engineering efforts with business strategy.
- Strong technical background to influence technical decisions and earn trust.
- Demonstrated ability to deliver complex initiatives from planning to implementation.
- Strong stakeholder management and influencing skills.
- Experience with workforce planning, recruitment, and resource management.
- Track record of driving change and continuous improvement initiatives.
- Understanding of AI's impact on software engineering.
Full job description
HEY THERE!
We are Mercedes-Benz.io. Our mission is to ignite and build digital solutions for Mercedes-Benz by bringing together a tribe of digital enthusiasts who drive the digital future of mobility.
We believe flexibility and collaboration go hand in hand. With offices in Lisbon and Braga, we offer a flexible hybrid setup, with an average of one day per week in the office. This allows for meaningful in-person collaboration while maintaining the flexibility to work in a way that best supports you and your team.
We do not care about your shoes, as long as you bring the right attitude. At Mercedes-Benz.io we walk the talk and make things happen. We do not digitise for the sake of being digital, but to create real value. We reflect, challenge the status quo, and stand up for each other. This is why we hire people who want to make an impact.
ABOUT THE ROLE
As an Engineering Manager, you will provide strategic and technical leadership for one or more engineering teams within our product organisation. You will lead engineers directly, contribute to product and engineering strategy, and ensure teams successfully deliver against business and customer needs.
IN THIS ROLE YOU WILL
Lead engineering across one or more teams, ensuring successful delivery while balancing customer needs, business objectives, and engineering excellence.
Contribute to product and engineering strategy alongside Product and Engineering leadership, helping translate Mercedes-Benz Group and MB.io priorities into clear engineering goals and team plans.
Champion AI adoption across products, engineering practices, and team processes, helping teams leverage emerging technologies effectively to drive organisational evolution, capability building, and operating model excellence.
Drive execution and accountability, ensuring strategic priorities are translated into measurable outcomes and delivered successfully.
Lead, coach, and develop engineers, supporting performance, growth, engagement, and career development.
Lead workforce planning, hiring, and resource allocation, ensuring teams have the capabilities and capacity needed to meet current and future business priorities.
Lead change and continuous improvement initiatives, advancing engineering practices, team effectiveness, organizational health, and ways of working.
Build strong relationships with stakeholders, product partners, and engineering teams, creating alignment across different interests and priorities.
Guide key technical decisions, evaluate trade-offs, and enable teams to make sound engineering decisions while maintaining technical excellence.
Track engineering performance, delivery, team health, AI adoption, and business impact through relevant KPIs.
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